AI build examples
AI product builds grounded in real workflow problems.
A practical look at the kinds of AI workflows DevParc helps founders clarify, prototype, and prepare for real user feedback.
B2B SaaS
AI research assistant for sales discovery
Challenge
A founder needed to turn scattered prospect notes, call transcripts, and public signals into account briefs.
Build
DevParc designed a retrieval-backed workflow with source-grounded summaries, editable brief cards, and CRM-ready exports.
Outcome
The team validated the workflow with early customers and used the first build to shape a more focused paid pilot.
Operations
Document intelligence workflow for back-office teams
Challenge
An SMB wanted to reduce manual review of invoices, contracts, and vendor documents without losing human control.
Build
We built a review queue with extraction, confidence scoring, exception handling, and audit-friendly human approvals.
Outcome
The prototype proved which document types were ready for automation and which required better data collection first.
Marketplace
AI matching prototype for expert recommendations
Challenge
A marketplace founder needed to test whether AI could improve expert matching before investing in a full platform.
Build
DevParc created a guided intake, matching logic, explanation layer, and admin controls for tuning recommendations.
Outcome
The prototype helped the founder run user interviews with a real workflow instead of a slide deck.
Education
Learning copilot for personalized practice
Challenge
A small education team wanted an AI tutor experience that stayed aligned to their lesson content and review standards.
Build
We built a content-grounded tutor with practice generation, rubric checks, progress views, and teacher oversight.
Outcome
The first build clarified the highest-value learner journey and gave the team a credible demo for partner conversations.
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